Real-Time Data & Streaming

When the experience depends on what happened a moment ago, batch isn’t an option. Nika builds streaming systems that move events from producer to consumer in milliseconds — and keep doing it under load.

If your users feel the lag, we treat it as a defect, not a constraint.

What we do

Streaming pipelines

• Event ingestion at high throughput

• Stream processing (Kafka, Redpanda, Flink, Pulsar)

• Exactly-once and at-least-once delivery semantics

• Schema management and event versioning

Live state & delivery

• Real-time state stores and in-memory grids

• WebSocket / SSE fan-out to millions of clients

• Pub/sub, presence, and live updates

• Edge delivery and regional replication

Analytics in motion

• Real-time aggregation and rollups

• Anomaly and threshold detection on live streams

• Operational dashboards with second-level freshness

• Feeds for downstream risk and personalization

Reliability

• Ordering, idempotency, and replay

• Backpressure and load shedding

• Lag monitoring and consumer SLOs

• Disaster recovery and failover

How we engage

We start by tracing one critical event through your system end to end, then rebuild the path so it’s fast, observable, and recoverable. The result is a pipeline your team can reason about — and extend — long after we’re done.